单摆模型matlab编程

这是我收集基用于tinyos实现的AES加密算法，希望能帮助大家-This is my collection for tinyos based AES encryption algorithm implementation, hoping to help people

FIF]ASP互动视频VIP教程下载5.1.5.1.rar简单的APPLICATION对象实现聊天室-FIF] ASP tutorials Download VIP Interactive Video .1.5.1. Rar simple objects APPLICATION realize chat rooms

使用JSTL编写注册用户管理系统，可以实现注册用户的增删改功能-used textbook prepared registered user management system, users can achieve additions, deletions and change function

说明：  function [archstat,pval] = arch(x,p)

使用STC15W104/STC15W204单片机，实现控制TM1804 芯片RGB全彩变幻效果。(TM1804 or STC15W104/STC15W204)

关联规则挖掘算法 Python实现Apriori算法(Association rule mining algorithm Python implementation Apriori algorithm)

电力远程运维系统源代码，为了满足配电房的监控系统的要求，达到对供电房的全方位监控，使有关人员做出反应，采取措施，并对相关设备进行集中监控、集中维护和集中管理。(Electric power remote maintenance system source code, in order to meet the monitoring system of power distribution room requirements, to achieve all-round monitoring of the power supply of housing, so that the staff response measures and related equipment for centralized monitoring, centralized management and maintenance.)

protel添加库()

双重差分估计 双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)